gsd-eval-review

Score AI phase evaluation dimensions as COVERED, PARTIAL, or MISSING in EVAL-REVIEW.md.

Updated Mar 15, 2026
One-click install
npx skills add https://github.com/Poom5741/eggo-world-pb --skill gsd-eval-review-poom5741
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gsd-eval-review
Source: https://github.com/Poom5741/eggo-world-pb/tree/main/.qwen/skills/gsd-eval-review
Command: npx skills add https://github.com/Poom5741/eggo-world-pb --skill gsd-eval-review-poom5741

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Retroactively audit an executed AI phase's evaluation coverage and score each dimension as COVERED, PARTIAL, or MISSING, producing actionable remediation guidance.

Core Features & Use Cases

  • Retroactive evaluation checks: verify adherence to the evaluation strategy and identify gaps.
  • EVAL-REVIEW generation: produce a structured EVAL-REVIEW.md with scores, verdict, gaps, and remediation plan.
  • Use case: after an AI phase completes, run the review to inform improvements for future phases.

Quick Start

Run the evaluation review workflow against the completed AI phase to generate an actionable EVAL-REVIEW.md.

Frequently Asked Questions about gsd-eval-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit a completed AI phase for evaluation gaps?

An AI phase evaluation review retroactively checks executed evaluation coverage, scoring dimensions as COVERED, PARTIAL, or MISSING. It diagnoses adherence to your evaluation strategy and identifies specific coverage gaps for remediation.

What is an EVAL-REVIEW.md file and how is it generated?

An EVAL-REVIEW.md is a structured document generated by reviewing evaluation artifacts in ai-evals.md. It captures dimension scores, overall verdicts, identified gaps, and actionable remediation guidance to improve future evaluation strategy adherence.

How do I remediate missing dimensions in an AI evaluation strategy?

To remediate missing or partial dimensions in an AI evaluation strategy, use the generated review document to map gaps and apply the structured remediation actions. This addresses MISSING and PARTIAL scores to improve future project workflow phases.

When should I run an AI evaluation review in the project workflow?

You should run an AI evaluation review retroactively after an AI phase completes within the project workflow. This timing allows you to verify evaluation strategy adherence and inform remediation planning for subsequent phases.

Can I evaluate AI phases without existing ai-evals.md artifacts?

Generating the EVAL-REVIEW.md with scores and remediation actions requires existing evaluation artifacts in ai-evals.md. The review process depends on these artifacts to diagnose coverage and map evaluation gaps accurately.